Dr. Alice Cervellieri | AI Network | Best Researcher Award

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Dr. Alice Cervellieri | AI Network | Best Researcher Award

Dr. Alice Cervellieri, Polytecnic of Turin, Italy

Professional Profile:

Google Scholar
Scopus

Suitability for the Best Researcher Award

Dr. Alice Cervellieri is an exceptional researcher and academic whose work spans multiple disciplines, including artificial intelligence, energy analysis, and construction technology. With extensive experience in structural reinforcement, agricultural mechanics, and energy-efficient building systems, Dr. Alice Cervellieri’s innovative contributions have led to significant advancements in both academia and industry. Her involvement in international projects, such as the EU H2020 “ENCORE” initiative, demonstrates her global impact on sustainable building practices. As a member of key IEEE IES Technical Committees and a mentor in Harvard University’s mentorship program, she consistently fosters cutting-edge research and technological solutions. Dr. Alice Cervellieri’s work, recognized at top conferences and in SCOPUS-indexed publications, makes her a highly suitable candidate for the Best Researcher Award.

Training and Academic Path:

  • Degree in Civil Engineering – University of Engineering, Bologna (2005)
  • Master’s Degree in Civil Engineering – University of Engineering, Bologna (2011)
  • Degree in Science of Mediation Language – University of Scienze della Mediazione Linguistica (2019)

Academic Work Experience:

Dr. Alice Cervellieri is a multidisciplinary researcher and educator with extensive experience in architectural design, energy efficiency, agricultural mechanics, and dynamic simulations. She has contributed to various high-impact projects, including structural restoration and seismic engineering at the University of Engineering in Florence and the EU H2020 project “ENCORE” at the Polytechnic University of Marche, focusing on energy and comfort in residential buildings.

Dr. Cervellieri has served as a visiting professor at the Catholic University of Manizales in Colombia and mentored for the Harvard Mentorship Project since 2021. Her academic engagements include teaching the “Energy Certifier” course for Emilia Romagna Region and participating in prestigious summer schools at institutions such as the University of Warwick, IMT Lucca, and the University of Bologna. Dr. Cervellieri is also a certified translator for the Consulate of the Embassy of the Republic of Cuba and has completed professional training in digital transformation technologies through MIT.

International Involvement:

Dr. Alice Cervellieri is also involved in numerous international research projects, notably in Intelligent Transportation Systems (ITS) and building efficiency monitoring. She has presented her work at prestigious international conferences, including IEEE International Conferences and the AABC Europe Advanced Automotive Battery Conference.

Awards and Recognition:

Her multidisciplinary contributions highlight her dedication to innovation, sustainability, and academia. She continues to influence fields ranging from construction technology to AI-driven solutions in healthcare.

Assignments in International Committees:

Dr. Alice Cervellieri serves on key technical committees, such as IEEE IES Technical Committees on Factory Automation and Industrial Agents, where she contributes to the development of cutting-edge technologies in these sectors.

Professional Committees:

  • Member, IEEE IES Technical Committee on Factory Automation (2023–Present)
  • Member, IEEE IES Technical Committee on Industrial Agents (2023–Present)

Publications and Conferences:

Dr. Alice Cervellieri has presented at prestigious conferences such as IEEE ETFA, IEEE INDIN, and LASMCER and is a co-author of SCOPUS-indexed publications, including works on UAVs for infrastructure inspection, cyber-physical systems for building efficiency, and holonic management trees.

Publication Top Notes:

1. The Double Propeller Ducted-Fan, An UAV for Safe Infrastructure Inspection and Human-Interaction

  • Conference: IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2020)
  • Date: 08-11 September 2020
  • Authors: Bonci Andrea, Cervellieri Alice, Longhi Sauro, Nabissi Giacomo, Scala Giuseppe Antonio

2. Innovative Approach in Cyber Physical System for Building Efficiency Monitoring

  • Conference: IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2021)
  • Date: 07-10 September 2021
  • Authors: Bonci Andrea, Cervellieri Alice, Pirani Massimiliano

3. On the Synthesis of Holonic Management Trees

  • Conference: IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2021)
  • Date: 07-10 September 2021
  • Authors: Pirani Massimiliano, Bonci Andrea, Cervellieri Alice, Longhi Sauro

4. Brotweg—A Path of Bread in an Alpine Environment: New Mechanical Solutions for Grain Processing in Steep Mountain Slopes

  • Book Chapter: In Innovative Biosystems Engineering for Sustainable Agriculture, Forestry and Food Production: International Mid-Term Conference 2019 of the Italian Association of Agricultural Engineering (AIIA)
  • Publisher: Springer International Publishing
  • Authors: Sabrina Mayr, Riccardo Brozzi, Alice Cervellieri, Thomas Desaler, Raimondo Gallo, Josef Gamper, Bernhard Geier, Laurin Holzner, Pasqualina Sacco, Fabrizio Mazzetto

5. The Development of A Small Stripper Header for Cereal Harvesting in Steep Mountain Environments

  • Conference: In Biosystem Engineering for Sustainable Agriculture, Forestry and Food Production: International Mid-Term Conference 2019
  • Date: September 12-13 2019
  • Conference Proceedings: Unibas
  • Authors: Laurin Holzner, Riccardo Brozzi, Alice Cervellieri, Thomas Desaler, Raimondo Gallo, Josef Gamper, … & Fabrizio Mazzetto

6. A Lithium-Ion Battery Remaining Useful Life Prediction Method with the Invariant Capacity Analysis Based on a New Algorithm

  • Journal: Journal of Electrical System
  • Year: 2024
  • Authors: Cervellieri Alice

7. Advanced SOC Prediction for Lithium-Ion Batteries Using FNN Machine Learning Techniques: A Bayesian Regularization Training Approach

  • Journal: Journal of Electrical System
  • Year: 2024
  • Authors: Cervellieri Alice

8. Advanced State of Health Prediction for Lithium-Ion Batteries Using Capacity Estimation and Feedforward Neural Networks: A Machine Learning Approach

  • Journal: Journal of Electrical System
  • Year: 2024
  • Authors: Cervellieri Alice

9. A Feed-Forward Back-Propagation Neural Network Approach for Integration of Electric Vehicles into Vehicle-to-Grid (V2G) to Predict State of Charge for Lithium-Ion Batteries

  • Journal: Energies
  • Year: 2024
  • Authors: Cervellieri Alice

 

 

 

 

Prof. Reza Ghaderi | AI in Networking | Best Faculty Award

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Prof. Reza Ghaderi | AI in Networking | Best Faculty Award

Prof.  Reza Ghaderil, Shahid Beheshti University, Iran

Reza Ghaderi’s extensive achievements in education, research, and academic leadership make him an exemplary candidate for the Research for Best Researcher Award. His educational background, specialized research expertise, and significant academic contributions reflect a career dedicated to advancing electrical engineering and technology. His innovative research projects further illustrate his ability to address complex challenges and drive progress in his field. With a proven track record of impactful work and leadership, Dr. Ghaderi embodies the qualities sought for this prestigious award.

Professional Profile:

Scopus 
Orcid
Google scholar

Suitability for the Award

Prof. Reza Ghaderi is highly suitable for the Research for Best Faculty Award. His extensive academic and research experience, combined with his leadership roles in both educational institutions and national projects, make him a distinguished figure in the field of electrical engineering. His contributions to research, particularly in neural networks, nanoelectronics, and particle accelerators, have had a significant impact on both the academic community and the broader technological landscape.

Educational Achievements:

Reza Ghaderi’s educational background is marked by significant accomplishments, reflecting his deep knowledge and commitment to the field of electrical engineering. He earned his Bachelor’s and Master’s degrees in Electrical Engineering – Electronics from Ferdowsi University of Mashhad and Tarbiat Modares University, respectively. His academic journey culminated in a Ph.D. from the University of Surrey, Guildford, where he specialized in electrical engineering. His strong educational foundation has provided him with the skills and insights necessary for groundbreaking research and leadership in his field.

Specialized Research Expertise:

Dr. Ghaderi’s research expertise spans a wide array of topics within electrical engineering, showcasing his versatility and depth of knowledge. His work includes the design and development of advanced technological systems such as high-voltage generators and digital autopilot systems. He has made significant contributions to neural networks, face recognition systems, and hydraulic servo systems, highlighting his ability to tackle complex problems and innovate solutions in various research areas.

Significant Academic Contributions:

Reza Ghaderi has made notable academic contributions through his roles as a faculty member and administrator at prestigious institutions. His leadership positions at the University of Mazandaran and Shahid Beheshti University, including his current role as Dean of the Faculty of Electrical Engineering, underscore his influence in shaping academic programs and research initiatives. His involvement in the development of national technology and IT strategies further emphasizes his impact on advancing educational and technological standards.

Innovative Research Projects:

Dr. Ghaderi’s innovative research projects have addressed a range of technological and scientific challenges. His work on designing high-voltage generators and AC motor speed controllers, along with his research on neural networks and particle accelerators, demonstrates his ability to lead and execute complex projects. His contributions to national projects, such as the development of sonar strategies and energy strategy documents, highlight his commitment to advancing technology and its applications on a broader scale.

Professional Experience and Impact:

Reza Ghaderi’s professional experience encompasses a broad range of roles and responsibilities that highlight his profound impact on the field of electrical engineering and academia. His career trajectory demonstrates a commitment to both advancing technological innovations and shaping educational practices.

Publication Top Notes:

  • Publication Topic: “A Practical Approach to Tracking Estimation Using Object Trajectory Linearization”
    • Year: 2024
  • Publication Topic: “Rapid and Accurate Predictions of Perfect and Defective Material Properties in Atomistic Simulation Using the Power of 3D CNN-Based Trained Artificial Neural Networks”
    • Year: 2024
  • Publication Topic: “Solving a Class of Thomas–Fermi Equations: A New Solution Concept Based on Physics-Informed Machine Learning”
    • Year: 2024
  • Publication Topic: “Salinity and Flow Pattern Independent Flow Rate Measurement in a Gas-Liquid Flow with Optimum Feature Selection and Novel Detection Geometry Using ANNs”
    • Year: 2024
  • Publication Topic: “An IoT-Based Packet Aggregation Mechanism for the SDN-Based Wide Area Networks”
    • Year: 2024

 

 

Dr. Abdulsamad Yahya | AI in Network | Excellence in Research

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Dr. Abdulsamad Yahya | AI in Network | Excellence in Research

Dr. Abdulsamad Yahya, Northern Border University, Saudi Arabia

Dr. Abdulsamad Yahya, an Assistant Professor at Northern Border University, Saudi Arabia, holds a Ph.D. in Computer Science from the National University of Malaysia (UKM) and a Diploma in Computer Engineering from the Higher Institute of Mechanical and Electrical Engineering, Sofia. With over 16 years of academic experience, he has significantly impacted the IT Department through his roles as Head of the IT Department and Deputy Dean of Postgraduate Studies. Dr. Yahya’s research expertise includes Artificial Intelligence, Computer Vision, and Biometrics, with notable contributions to deep learning and big data visualization. Recognized with scholarships from Yemen’s Ministry of Education and Ministry of Higher Education, his career is distinguished by a strong blend of research excellence and administrative leadership.

Professional Profile:

Scopus

Suitability for the Research for Best Researcher Award

Dr. Abdulsamad Yahya is a strong contender for the Research for Best Researcher Award based on his extensive experience in academia, significant contributions to the field of computer science, and his leadership roles. His qualifications and research interests highlight his exceptional suitability for this recognition.

🎓 Academic Expertise:

Dr. Abdulsamad Yahya, Ph.D. in Computer Science from National University of Malaysia (UKM), brings over 16 years of academic experience. His qualifications also include a Diploma in Computer Engineering from the Higher Institute of Mechanical and Electrical Engineering, Sofia.

 

📚 Distinguished Educator:

As an Assistant Professor at Northern Border University, Saudi Arabia, Dr. Yahya has significantly impacted the Information Technology Department. His past roles include Head of the IT Department and Deputy Dean of Postgraduate Studies, showcasing his leadership in academia.

🔬 Research Leader:

Dr. Yahya’s research focuses on Artificial Intelligence, Computer Vision, and Biometrics. His conference papers on deep learning and big data visualization reflect his active contribution to advancing these fields.

🏆 Award-Winning Scholar:

Honored with scholarships from Yemen’s Ministry of Education and Ministry of Higher Education, Dr. Yahya’s academic journey is marked by his commitment to research and education.

🗂️ Administrative Excellence:

Dr. Yahya has served as the Head of the IT Department and Chairperson of the Senior Project Committee at Northern Border University, demonstrating his strong administrative and project management skills.

Publication Top Notes:

  • Title: Deep-Ensemble and Multifaceted Behavioral Malware Variant Detection Model
    • Citations: 13
    • Year: 2022
  • Title: A Genetic Algorithm-Based Grey Model Combined with Fourier Series for Forecasting Tourism Arrivals in Langkawi Island Malaysia
    • Citations: 3
    • Year: 2020
  • Title: Drought Forecasting Using Gaussian Process Regression (GPR) and Empirical Wavelet Transform (EWT)-GPR in Gua Musang
    • Citations: 2
    • Year: 2020
  • Title: Inflectional Review of Deep Learning on Natural Language Processing
    • Citations: 35
    • Year: 2018
  • Title: Big Data Visualization: Allotting by R and Python with GUI Tools
    • Citations: 17
    • Year: 2018

 

Ms. Amruta Chougule | AI in Network Awards | Women Researcher Award -2888

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Ms. Amruta Chougule | AI in Network Awards | Women Researcher Award

Ms. Amruta Chougule, Dr. D. Y. Patil Institute of Technology, Pune, India

🌟 Dr. Amruta Chougule is a distinguished AI researcher and educator with a PhD in Deep Learning and an MTech in Embedded Systems. Her academic journey includes a BE in Electronics and a DE in Electronics & Telecommunications, highlighting her strong foundation in technology. As an Assistant Professor at D.Y. Patil College of Engineering and Technology since October 2021, she is renowned for her expertise in AI and ML course development, student mentorship, and driving impactful research initiatives. Previously, as a Senior Software Engineer at Spring Source Technologies, Bangalore, from June 2019 to August 2021, Amruta led pioneering projects in NLP and object detection, leveraging advanced ML algorithms to enhance customer interactions and prevent fraud. Her commitment to advancing AI’s frontiers is underscored by her active participation in conferences and workshops, reflecting her dedication to innovation and excellence in the field. 🖥️

🌐 Professional Profile:

ORCID
Scopus

🎓 Education

Amruta Chougule holds a PhD in Deep Learning, completed in 2021, and an MTech in Embedded Systems from Savitribai Phule Pune University and VIT University Chennai, respectively. She earned her BE in Electronics from Bharat Vidyapeeth College of Engineering, Kolhapur, and a DE in Electronics & Telecommunications from D.Y. Patil Polytechnic.

🌟 Experience

As an accomplished AI Software Engineer and Analyst, Amruta has led groundbreaking research in Artificial Intelligence and Deep Learning. Her expertise spans analysis, design, development, and implementation of cutting-edge AI solutions, collaborating effectively across teams to achieve project excellence.

👩‍🏫 Assistant Professor

Since October 2021, Amruta has served as an Assistant Professor at D.Y. Patil College of Engineering and Technology, Kolhapur. She excels in designing comprehensive AI and ML courses, mentoring students, and guiding impactful research initiatives. Her commitment to advancing AI’s frontiers is evident through her active participation in conferences and workshops.

🖥️ Senior Software Engineer

From June 2019 to August 2021, Amruta worked as a Senior Software Engineer at Spring Source Technologies, Bangalore. There, she spearheaded the development of innovative NLP solutions and object detection systems, leveraging advanced ML algorithms to enhance customer services and detect fraudulent transactions.

📈 Achievements

Amruta led the development of predictive software for business forecasting, applying sophisticated statistical analysis and ML techniques. Her leadership and technical acumen have significantly contributed to the success of various projects, reflecting her dedication to pushing the boundaries of AI in practical applications.

Publication Top Notes:

  • Custom CNN-BiLSTM model for video captioning
    • Published in Multimedia Tools and Applications, 2024
  • Unveiling the Power of Transfer Learning: A Comparative Analysis of Video Features in Captioning Task
    • Presented at a conference, 2023
  • IoT Based Smart Car Monitoring System
    • Presented at the Tenth International Conference on Advanced Computing (ICoAC), 2018